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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

What is an EngOps platform? Key Features, Benefits, and Use Cases

Though AI tools have made individual developers dramatically more productive at writing code, most engineering organizations report moving only about 20% faster than before. As Honeycomb CTO Charity Majors recently wrote, "AI came for code generation first because it was the easiest problem to solve, but it was never the thing holding developers back.".

How to deploy PostgresSQL on Kubernetes

Kubernetes is a container orchestration platform that automates the deployment, scaling, and management of containerized applications, abstracting many of the manual steps of rolling upgrades and scaling. When building cloud-native applications in a Kubernetes environment, you’ll often need to deploy database applications like a PostgreSQL database so that your applications can leverage their features within the cluster.

Bridging the Gap: Keeping On-Premises SQL Server Competitive in a Cloud-First World

Short Summary: Many companies evaluate cloud platforms when they reach scalability limits on existing infrastructure, with migration decisions typically driven by a broader mix of factors: cost optimization, availability, security, and access to managed services. However, despite this shift, a lot of teams still run SQL Server on their own servers. Keeping these systems running well requires good monitoring, performance tuning, and regular maintenance.

Free vs Commercial ORM Tools: Best Picks Compared

When you’re building.NET applications, the choice between free ORM tools and commercial ones can make or break your project’s future. It’s not about one side winning, both have standout strengths. Free tools like Entity Framework Core or Dapper offer flexibility without the price tag. However, as projects grow, teams need commercial tools to deal with larger schemas, more complex mappings, and multiple developers working on the same data layer.

Cost Optimization vs. Value Optimization: Shifting the Mindset

In this session, we explore how organizations can move beyond basic cloud cost reporting to truly understand the business value of their IT investments. Using the T2Bv (Technology-to-Business Value) meta-framework alongside FinOps practices, we explain how to connect IT resources, including Azure environments, to measurable business outcomes.

Your Cloud Architecture Has a Personality - Mastering Cloud Cost Profiles & FinOps

Most teams treat cloud cost like something to clean up later. In reality, it is already baked into how your system behaves. Every workload has a personality. Some spike with concurrency. Some quietly run all day and never shut off. Some look efficient until scale hits and then costs accelerate. And some charge you every time they run, every query, every scan, every execution. This episode is about recognizing those patterns early. Once you understand how your architecture behaves under load and over time, you stop reacting to cost and start shaping it.

#055 - From Enterprise Java to Kubernetes and AI-Driven Infrastructure with Dan Hicks (Boomi)

Dan breaks down the fundamental similarities and stark differences between application development and platform engineering. He shares the unexpected hurdles he faced during his transition, from complex networking and CoreDNS latency to the harsh realities exposed by chaos testing in cloud environments.

Node Groups: Organize Your Infrastructure Into Reusable Views

When you’re managing a handful of nodes, the flat list in the nodes tab works fine. When you’re managing hundreds or thousands, it becomes a wall of hostnames. You end up applying the same filters repeatedly: all the production database servers, all the nodes in eu-west, all the Kubernetes workers in the staging cluster. The filters work, but they don’t persist, and there’s no way to share them with the rest of your team. Node groups solve this.

The reality check: why manual debugging setups are a hidden factory

The first 70% of a debugging cycle is usually spent on "plumbing", the undocumented toil of syncing databases, matching service versions, and aligning networking to mimic a production failure. This manual setup is a hidden factory that consumes senior engineering capacity and delays recovery. True velocity is found by eliminating the infrastructure variables that make bugs hard to reproduce.

Secure and Compliant DevOps in an AI-Enabled World

Is Your DevOps Strategy Ready for the AI Era? AI is accelerating modern software delivery—but it’s also raising the stakes for security, compliance, and auditability. As AI-driven change increases, many organizations are discovering that incomplete DevOps practices are creating new risk. Based on insights from 800+ global IT professionals, the 2026 State of DevOps Report reveals why vendor‑backed, enterprise‑grade DevOps platforms are becoming critical for managing AI‑driven risk and meeting evolving regulatory demands.